Presented are intelligent electronic footwear and apparel with controller-automated features, methods for making/operating such footwear and apparel, and control systems for executing automated features of such footwear and apparel. A method for operating an intelligent electronic shoe (IES) includes receiving, e.g., via a controller through a wireless communications device from a GPS satellite service, location data of a user. The controller also receives, e.g., from a backend server-class computer or other remote computing node, location data for a target object or site, such as a virtual shoe hidden at a virtual spot. The controller retrieves or predicts path plan data including a derived route for traversing from the user's location to the target's location within a geographic area. The controller then transmits command signals to a navigation alert system mounted to the IES's shoe structure to output visual, audio, and/or tactile cues that guide the user along the derived route.

A leading system has an output unit configured to output a predetermined signal to a first area around a vehicle, and a terminal carried by a person. The terminal has a receiving unit configured to receive the predetermined signal when the person enters the first area and a first notification unit configured to automatically perform a first notification to the person when the predetermined signal is received by the receiving unit.

A leading system has an output unit configured to output a predetermined signal to a first area around a vehicle, and a terminal carried by a person. The terminal has a receiving unit configured to receive the predetermined signal when the person enters the first area and a first notification unit configured to automatically perform a first notification to the person when the predetermined signal is received by the receiving unit.

The traffic flow control method includes: receiving, by a traffic flow control device, traffic control request signaling sent by an in-vehicle device of a first vehicle, where the traffic control request signaling includes travel information of the first vehicle and a travel intention of the first vehicle; determining, by the traffic flow control device, traffic command signaling based on the traffic control request signaling and traffic control phase information of a target intersection, where the target intersection is an intersection through which the first vehicle is to pass; and sending, by the traffic flow control device, the traffic command signaling to the in-vehicle device of the first vehicle. The traffic flow control method, the traffic flow control device, the in-vehicle device, and the computer-readable storage medium in the internet of vehicles can help a vehicle in the internet of vehicles travel safely and efficiently at an intersection.

An emergency response system (ERS) configured to acquire target terminal location data, emergency responder terminal location data, and equipment location data, engage a camera component of the emergency responder terminal to capture images of at least a portion of the surrounding real-world scene, providing such images for display on the touchscreen display of the emergency responder terminal, together with a selectable display object associated with a registered user that is further associated with the target terminal. Upon selection of the display object, details about the associated registered user may be displayed on the display of the emergency responder terminal.

A vehicle computer for use in a vehicle. The vehicle computer includes at least one processor; an interface to a radio communications network; and a memory including software instructions configured to control the at least one processor to implement a method including steps of: receiving, from a traffic information hub in the radio communications network, intersection condition information regarding a next intersection along a route of the vehicle; and calculating route and navigation information based at least in part on the received intersection condition information. Also disclosed is a traffic information hub including: at least one processor; an interface to a data network; and a memory including software instructions configured to control the at least one processor to implement a method including steps of: receiving intersection condition information for each one of a plurality of traffic intersections; and receiving a query from a vehicle.

A variety of dispatcher user interfaces, communications architectures, methods, apparatus, APIs and protocols are described that can help facilitate the integration of volunteer responder networks into the workflows of PSAP dispatchers. In one aspect, a dispatcher user interface facilitates activation of the volunteer responder network, as well as tracking and/or communicating notes to medical devices such as AEDs in the responder network that have accepted an incident.

According to some embodiments, there is provided a Collective Perception Message, CPM, characterizing a plurality of Vulnerable Road Users based on a plurality of received VAMs, thereby allowing an ITS station to efficiently aggregate VAM messages from VRUs and retransmit information about the VRUs to other ITS stations. Consequently, the security is improved as some ITS stations may not be able to detect or identify VRU stations by themselves but thanks to the CPM, these stations can still be informed of the VRUs. According to other aspects, congestion is avoided while maintaining safety vis-à-vis VRUs thanks to the use of a different transmission scheme when the VRU is already characterized in a CPM sent to the ITS stations. Also, a receiving station can evaluate whether the content of a CPM can be trusted or not. Safety is thus improved. This is achieved thanks to the CPM that references a certificate.

A teleoperations system may be used to selectively override conditions detected by an autonomous vehicle to enable the autonomous vehicle to effectively ignore detected conditions that are identified as false positives by the teleoperations system. Furthermore, a teleoperations system may be used to generate commands that an autonomous vehicle validates prior to executing to confirm that the commands do not violate any vehicle constraints for the autonomous vehicle. Still further, an autonomous vehicle may be capable of dynamically varying the video quality of one or more camera feeds that are streamed to a teleoperations system over a bandwidth-constrained wireless network based upon a current context of the autonomous vehicle.

Systems and methods are disclosed for generating a display of a navigation map. The system may comprise a historical data source device having, for example, a historical data source computer and a database storing historical data associated with one or more of vehicle accident data, traffic data, vehicle volume data, vehicle density data, road characteristic data, or weather data. The system may comprise a map data processing device having a map data processing computer and memory storing computer-executable instructions that, when executed by the map data processing computer, cause the map data processing device to, for example, determine, based on a location determining device, a location of a vehicle. The map data processing system may determine one or more historical factors based on the location of the vehicle. The map data processing system may receive, from the historical data source device and for the location, historical data associated with the one or more historical factors. Based on the location of the vehicle, one or more real time factors and real time data associated with the one or more real time factors may be calculated. The map data processing system may calculate, using the one or more historical factors and the one or more real time factors, a navigation score for each segment of a route from the location to a destination location. The map data processing system may determine one or more colors for each navigation score and/or generate a display of a navigation map comprising the one or more colors.